Why Squasher exists
Production failures rarely stay inside one tool. An error appears in application code, the useful context sits in logs and traces, a deploy changed minutes earlier, and the people who can verify the fix need one shared record. Squasher exists to keep that evidence connected from detection through review.
The product is built for engineers and coding agents that need to inspect the same bounded evidence. It combines error monitoring, logs, traces, session replay, uptime, status workflows, deploy context, and reviewable AI triage without making each signal a separate investigation.
What we build
Teams can send telemetry through Squasher SDKs, standard OpenTelemetry, or managed log drains. Every plan includes AI triage. Public API, CLI, MCP, and agent-skill entry points let people and software use the same project-scoped contracts instead of replaying dashboard clicks.
Squasher favors cited evidence, explicit permissions, bounded queries, and human review for sensitive actions. The goal is a short path from a real production symptom to a cause that can be checked and a fix that can be verified.
Start with one service
Create a free project, connect one telemetry path, and send one real event. The documentation covers SDK, log-drain, OpenTelemetry, API, CLI, and MCP setup. If you need help choosing the first path, contact the Squasher team before you connect production data.